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enthusiastic qualitative researcher with a background in linguistics to work on the Diabetes UK-funded project: Multimedia messaging to reduce diabetes related stigma. The project will develop and explore
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-cutting Centre designed to widen the educational reach of King’s. It brings together three existing areas: King’s Foundations, Summer Programmes, and King’s Language Centre. This brings together
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reach of King’s. It brings together three existing areas: King’s Foundations, Summer Programmes, and King’s Language Centre. This brings together international pathway provision, pre sessional programmes
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with an excellent track record in knowledge graphs and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph
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interactive/annotated reporting with a markup language will be a plus. The Marzi Lab is highly collaborative. You will join a multidisciplinary team on the Denmark Hill Campus with a leading role in: Designing
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Job id: 088525. Salary: £37,388 - £42,099 per annum, including London Weighting Allowance. Posted: 26 April 2024. Closing date: 06 May 2024. Business unit: Students & Education. Department: Admissions. Contact details:Sarah Bell-McKay – Head of Operations, Data & People. ...
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stakeholders and key partners. Act as a brand guardian ensuring adherence to King’s house style, language and tone. Identify reputational issues, escalating where necessary and advising on solutions, working
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range of forms to present complex ideas clearly and accessibly, and ability to learn and speak the language of a stakeholder Experience in line/matrix/capability management and/or coaching or influencing
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, Summer Programmes, and King’s Language Centre. This brings together international pathway provision, pre sessional programmes, pre-UG summer courses, UG summer modules, UG language modules, bespoke
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(including electrical/electronic engineering), or a similar field. Candidates with strong backgrounds in reinforcement learning, multi-agent learning, language model agents and causal learning are encouraged